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Rawan Lazkani

Machine learning engineer

Works remotely from Cairo

  • 30.0488
  • 31.2436
  • Suggested rate €30 / day
  • Experience 2-7 years
Propose a project The project will begin once you accept Rawan's quote.
Propose a project The project will begin once you accept Rawan's quote.

Location and workplace preferences

Location
Cairo, Egypt
Remote only
Primarily works remotely

Preferences

Project length
  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months
  • Between 3-6 months
  • ≥ 6 months
Business sector
Would prefer:
  • Architecture & Urban Planning
  • Arts & Crafts
  • Automobile
  • Aviation & Aerospace
  • Banking & Insurance
+42 autres
Would prefer to avoid:
Wine & Spirits
Company size
  • 1 person
  • 2-10 people
  • 11 - 49 people
  • 50 - 249 people
  • 250 - 999 people
+2 autres

Verifications

Freelancer code of conduct signed
Read the Malt code of conduct

Verified email

Reputation

Languages

  • English

    Fluent

  • Arabic

    Native or bilingual

Categories

Skills (8)

Rawan in a few words

I am a machine learning engineer who is passionate about AI applications especially in computer vision. I have more than 3 years of industry experience in computer vision and deep learning.
I joined projects such as detection, recognition with tools like opencv, python, tensorflow and deeplearning architectures

Experience

Omdena

Tech

Machine learning engineer  - As a freelancer

January 2021 - Today (1 year1 year and 6 months)

Project: Detecting Pathologies Through Computer Vision in Ultrasound.
Project URL : https://omdena.com/projects/ai-ultrasound/
My rule as machine learning engineer includes exploring different detection, classification and segmentation deep learning models then training, testing and validation of these models and contribute in finding the best solution for this problem.

Starkbits

Tech

Computer vision engineer

June 2017 - April 2020 (2 years2 years and 9 months)

I got involved in several projects like Human detection, car plates recognition and parking lots
classification.
My role included building and testing state of the art deep learning models, Testing the model against
real data and optimizing models to get best accuracy in fastest inference time.
I used tesnsorflow, keras, caffe deep learning frameworks. and used C++, python as a programming
languages

Education